{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "MAX_SEQUENCE_LENGTH = 200 # 句子 上限200个词\n",
    "EMBEDDING_DIM = 100 # 100d 词向量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 字向量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "good len: 1294531\n",
      "bad len: 48126\n"
     ]
    }
   ],
   "source": [
    "good = []\n",
    "bad = []\n",
    "for line in open('data/goodqueries.txt'):\n",
    "    good.append(line.strip('\\n'))\n",
    "for line in open('data/badqueries.txt'):\n",
    "    bad.append(line.strip('\\n'))\n",
    "print('good len:', len(good))\n",
    "print('bad len:', len(bad))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data: 192504\n",
      "/103886/ <svg onload=location='//p0.al'>\n"
     ]
    }
   ],
   "source": [
    "data = []\n",
    "labels = []\n",
    "\n",
    "length = len(bad)\n",
    "scale = 3\n",
    "data.extend(good[:length * scale]) # 只取部分数据\n",
    "data.extend(bad)\n",
    "labels.extend([1] * length * scale)\n",
    "labels.extend([0] * length)\n",
    "print('data:', len(data))\n",
    "print(data[0], data[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 175 unique tokens.\n",
      "Shape of data tensor: (192504, 200)\n"
     ]
    }
   ],
   "source": [
    "# https://keras-cn-docs.readthedocs.io/zh_CN/latest/blog/word_embedding/\n",
    "import numpy as np\n",
    "from keras.preprocessing.text import Tokenizer\n",
    "from keras.preprocessing.sequence import pad_sequences\n",
    "\n",
    "# tokenizer\n",
    "texts = data\n",
    "tokenizer = Tokenizer(char_level=True) # 字向量\n",
    "tokenizer.fit_on_texts(texts)\n",
    "word_index = tokenizer.word_index\n",
    "\n",
    "# sequences\n",
    "sequences = tokenizer.texts_to_sequences(data)\n",
    "\n",
    "# padding\n",
    "data = pad_sequences(sequences, maxlen=MAX_SEQUENCE_LENGTH)\n",
    "\n",
    "print('Found %s unique tokens.' % len(word_index))\n",
    "print('Shape of data tensor:', data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "token_path = 'model/tokenizer.pkl'\n",
    "pickle.dump(tokenizer, open(token_path, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "# 打乱顺序\n",
    "index = [i for i in range(len(data))]\n",
    "random.shuffle(index)\n",
    "data = np.array(data)[index]\n",
    "labels = np.array(labels)[index]\n",
    "\n",
    "TRAIN_SPLIT = 0.8 # 20% 测试集\n",
    "TRAIN_SIZE = int(len(data) * TRAIN_SPLIT)\n",
    "\n",
    "X_train, X_test = data[0:TRAIN_SIZE], data[TRAIN_SIZE:]\n",
    "Y_train, Y_test = labels[0:TRAIN_SIZE], labels[TRAIN_SIZE:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train len: 154003\n",
      "test len: 38501\n"
     ]
    }
   ],
   "source": [
    "print('train len:', len(X_train))\n",
    "print('test len:', len(X_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from keras import backend as K\n",
    "\n",
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"3\"\n",
    "\n",
    "G = 1 # GPU 数量\n",
    "gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.8)\n",
    "session = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options, allow_soft_placement=True))\n",
    "K.set_session(session)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CNN + Bi-LSTM + CNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_1 (Embedding)      (None, 200, 100)          17600     \n",
      "_________________________________________________________________\n",
      "conv1d_1 (Conv1D)            (None, 198, 128)          38528     \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 198, 128)          512       \n",
      "_________________________________________________________________\n",
      "activation_1 (Activation)    (None, 198, 128)          0         \n",
      "_________________________________________________________________\n",
      "max_pooling1d_1 (MaxPooling1 (None, 49, 128)           0         \n",
      "_________________________________________________________________\n",
      "bidirectional_1 (Bidirection (None, 49, 128)           98816     \n",
      "_________________________________________________________________\n",
      "conv1d_2 (Conv1D)            (None, 47, 128)           49280     \n",
      "_________________________________________________________________\n",
      "batch_normalization_2 (Batch (None, 47, 128)           512       \n",
      "_________________________________________________________________\n",
      "activation_2 (Activation)    (None, 47, 128)           0         \n",
      "_________________________________________________________________\n",
      "max_pooling1d_2 (MaxPooling1 (None, 11, 128)           0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1408)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                90176     \n",
      "_________________________________________________________________\n",
      "batch_normalization_3 (Batch (None, 64)                256       \n",
      "_________________________________________________________________\n",
      "activation_3 (Activation)    (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 1)                 65        \n",
      "_________________________________________________________________\n",
      "batch_normalization_4 (Batch (None, 1)                 4         \n",
      "_________________________________________________________________\n",
      "activation_4 (Activation)    (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 295,749\n",
      "Trainable params: 295,107\n",
      "Non-trainable params: 642\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Activation, BatchNormalization, Flatten\n",
    "from keras.layers import Dense, LSTM, Convolution1D, MaxPooling1D\n",
    "from keras.layers.embeddings import Embedding\n",
    "from keras.layers.wrappers import Bidirectional\n",
    "\n",
    "QA_EMBED_SIZE = 64\n",
    "DROPOUT_RATE = 0.3\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(len(word_index) + 1, EMBEDDING_DIM, input_length=MAX_SEQUENCE_LENGTH))\n",
    "model.add(Convolution1D(filters=128, kernel_size=3, padding='valid', activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling1D(4))\n",
    "model.add(Bidirectional(LSTM(QA_EMBED_SIZE, return_sequences=True, dropout=DROPOUT_RATE, recurrent_dropout=DROPOUT_RATE)))\n",
    "model.add(Convolution1D(filters=128, kernel_size=3, padding='valid', activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling1D(4))\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(QA_EMBED_SIZE))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dense(1))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Activation(\"sigmoid\"))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 模型可视化 https://keras-cn.readthedocs.io/en/latest/other/visualization/\n",
    "from keras.utils import plot_model\n",
    "from IPython import display\n",
    "\n",
    "# pip install pydot-ng\n",
    "# sudo apt-get install graphviz\n",
    "plot_model(model, to_file=\"img/model-cnn-blstm-cnn.png\", show_shapes=True)\n",
    "display.Image('img/model-cnn-blstm-cnn.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 107802 samples, validate on 46201 samples\n",
      "Epoch 1/3\n",
      "107802/107802 [==============================] - 319s 3ms/step - loss: 0.2021 - acc: 0.9816 - precision: 0.9874 - recall: 0.9881 - f1: 0.9876 - val_loss: 0.0746 - val_acc: 0.9925 - val_precision: 0.9920 - val_recall: 0.9981 - val_f1: 0.9950\n",
      "Epoch 2/3\n",
      "107802/107802 [==============================] - 317s 3ms/step - loss: 0.0640 - acc: 0.9943 - precision: 0.9959 - recall: 0.9965 - f1: 0.9961 - val_loss: 0.5883 - val_acc: 0.6476 - val_precision: 0.9985 - val_recall: 0.5311 - val_f1: 0.6907\n",
      "Epoch 3/3\n",
      "107802/107802 [==============================] - 319s 3ms/step - loss: 0.0345 - acc: 0.9954 - precision: 0.9970 - recall: 0.9969 - f1: 0.9969 - val_loss: 0.0241 - val_acc: 0.9959 - val_precision: 0.9981 - val_recall: 0.9965 - val_f1: 0.9972\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fa19404a048>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard\n",
    "# from keras.utils import multi_gpu_model\n",
    "from evaluate import *\n",
    "\n",
    "EPOCHS = 3\n",
    "BATCH_SIZE = 64 * G\n",
    "VALIDATION_SPLIT = 0.3 # 30% 验证集\n",
    "\n",
    "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n",
    "model_checkpoint = ModelCheckpoint('model/model-cnn-blstm-cnn.h5', save_best_only=True, save_weights_only=True)\n",
    "tensor_board = TensorBoard('log/tflog-cnn-blstm-cnn', write_graph=True, write_images=True)\n",
    "\n",
    "# model = multi_gpu_model(model)\n",
    "\n",
    "model.compile(loss='binary_crossentropy',\n",
    "                  optimizer='adam',\n",
    "                  metrics=['accuracy', precision, recall, f1])\n",
    "\n",
    "model.fit(X_train, Y_train, epochs=EPOCHS, batch_size=BATCH_SIZE, \n",
    "          validation_split=VALIDATION_SPLIT, shuffle=True, \n",
    "          callbacks=[early_stopping, model_checkpoint, tensor_board])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38501/38501 [==============================] - 25s 653us/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.025790771138512164,\n",
       " 0.9954027168125503,\n",
       " 0.9974962252678337,\n",
       " 0.9963996735415748,\n",
       " 0.996919587520416]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.evaluate(X_test, Y_test, verbose=1, batch_size=BATCH_SIZE)"
   ]
  }
 ],
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